{"id":"W4396239851","doi":"10.2316/j.2024.201-0426","title":"MANIPULATOR BASED ON IMPROVED PHOTOMETRIC STEREO RECONSTRUCTION METHOD, 175-185.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Photometric stereo; Computer science; Artificial intelligence; Computer vision; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001381,0.000201256,0.000300036,0.0004142218,0.00007698754,0.0006208374,0.0003091957,0.0001134449,0.00002302934],"category_scores_gemma":[0.00003881172,0.000153155,0.0001006336,0.0004124044,0.00001787067,0.0003422609,0.00003466716,0.0002018014,0.00002726197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370368,"about_ca_system_score_gemma":0.0000721592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008959044,"about_ca_topic_score_gemma":0.00000372088,"domain_scores_codex":[0.9984164,0.0001536742,0.0003242181,0.000517139,0.0002726558,0.0003159047],"domain_scores_gemma":[0.9991852,0.0001764017,0.00006651921,0.0003950005,0.00007204969,0.0001047963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001034804,0.0001013026,0.0003756914,0.0005041015,0.0002240336,0.00002362315,0.00008514361,0.00005936276,0.05633477,0.3438101,0.000399001,0.5979794],"study_design_scores_gemma":[0.0005838466,0.0006547298,0.0001039262,0.0002870293,0.00003215011,0.00003077231,0.00002712565,0.9913138,0.003363019,0.001048207,0.002336724,0.0002186315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001459258,0.002308594,0.9908875,0.0003304396,0.001601267,0.0006211597,0.000005381093,0.00056477,0.002221596],"genre_scores_gemma":[0.993126,0.00001775805,0.006210758,0.0001376052,0.0001454313,0.0001556099,7.170993e-7,0.00001438438,0.0001917166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9916667,"threshold_uncertainty_score":0.6245481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907383402775505,"score_gpt":0.2621814798260695,"score_spread":0.2431076457983144,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}